Results 51 to 60 of about 22,986 (292)

Oxygen‐Tunnel Indium Tin Oxide Vertical Channel Transistors with Enhanced Current Density and Reliability for Monolithic 3D Compute‐In‐Memory Systems

open access: yesAdvanced Functional Materials, EarlyView.
Oxygen‐tunnel (OT) indium tin oxide (ITO) vertical channel transistors (VCTs) enable reliable, high‐density gain‐cell memory for monolithic 3D integration. A sandwiched SiN/SiO2/SiN OT stack selectively regulates oxygen transport, suppressing parasitic electrode oxidation while stabilizing channel oxygen vacancies, thereby suppressing carrier injection
Hyeonho Gu   +17 more
wiley   +1 more source

Waveform Pattern Recognition – A New Semiquantitative Method for Analysis of Fetal Aortic and Umbilical Artery Blood Flow Velocity Recorded by Doppler Ultrasound [PDF]

open access: yes, 1991
A semiquantitative computerized waveform pattern recognition system for analysis of the fetal descending aortic and umbilical artery Doppler flow velocity waveforms is presented.
Olofsson, Per Åke   +3 more
core   +3 more sources

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

open access: yesAdvanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand   +13 more
wiley   +1 more source

A MFR Work Modes Recognition Method Based on Dual-Scale Feature Extraction

open access: yesRemote Sensing
Multi-function radar (MFR) work modes recognition is an important research component of the electronic reconnaissance field. When facing MFR systems equipped with complex mode-waveform mapping relationships and flexible beam scanning techniques, the ...
Zhiyuan Li   +5 more
doaj   +1 more source

Unknown Radar Waveform Recognition Based on Transferred Deep Learning

open access: yesIEEE Access, 2020
Radar signals are emerging constantly for urgent task because of its complex patterns and rich working modes. For some radar waveforms with known modulation methods, they can be identified by correlation between radar prior knowledge and the received ...
Anni Lin   +4 more
doaj   +1 more source

An artificial synapse based on molecular junctions

open access: yesNature Communications, 2023
Designing scaled electronic devices for neuromorphic applications remains a challenge. Here, Zhang et al. develop an artificial molecular synapse based on self-assembled peptide molecule monolayer whose conductance can be dynamically modulated and used ...
Yuchun Zhang   +7 more
doaj   +1 more source

Deep-Learning for Radar: A Survey

open access: yesIEEE Access, 2021
A comprehensive and well-structured review on the application of deep learning (DL) based algorithms, such as convolutional neural networks (CNN) and long-short term memory (LSTM), in radar signal processing is given.
Zhe Geng   +3 more
doaj   +1 more source

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

open access: yesAdvanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source

Study on Multi-Appliance Recognition by Waveform Identification Algorithm [PDF]

open access: yes, 2014
In order to conserve energy to reduce carbon emission, we probe into multi-appliance recognition system concerning home energy management system based on smart meter. We identify appliance by using dynamic time warping to find out the state of appliance.
Shih, Tsung-I
core  

Speech Recognition Using Neural Network [PDF]

open access: yes, 1999
application/pdfIn this paper we try to apply a neural network algorithm to human speech recognition. The numrical experiment is carried out to recognize vowels using time domain waveform and frequency domain waveform as training data.
Nomura, Hiroshi   +7 more
core   +1 more source

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